❗ Bonus! Attendees will have the chance to book a free, 30-min. ML-driven diagnostic that will answer questions like:
* How long any body of work (e.g. initiative, epic) will take to finish;
* What work is at risk and why;
* How engineering productivity is changing over time.
From our latest release: a dashboard that combines data and ML to show what work needs attention and why.
We're responding to four primary questions:
(1) "When will this work be finished?"
(2) "Is pace of work speeding up or slowing down?"
(3) "What is our level of resource contention?"
(4) "Where are we spending our time?"
These aren't the only four that matter, but I'd call them the Big Four...
✨ New this week... Simplify your software capitalization.
We’ve significantly expanded the capabilities of Allocation to give a deeper, broader, richer view into where your engineering time (and dollars) are going.
The new version provides two modes, trend and table. In the trend view, we show the allocation of time spent for the period you select, and how that compares to the prior five equivalent periods. In the table view, we show the allocation of time spent for the period you select in sortable table format and organized by your chosen grouping. In either view, you can see time allocation grouped by epic, project, label, issue type, or fix version. You can also further filter to see by person or team.
You can also optionally define labor costs to see, for example, how much money has been invested to-date in a given epic or type of work—perfect for software capitalization.